Mathematical model predicts patient outcomes to adaptive therapy
(PHYSorg.com Medicine & Health)

Prostate cancer is the most common malignancy among men in the United States. It is also the second most common cause of cancer-related deaths. Despite improved treatments for prostate cancer, many patients with advanced disease eventually develop drug resistance. Researchers in the Center of Excellence for Evolutionary Therapy at Moffitt Cancer Center believe that adaptive treatments based on evolutionary principles may be an effective approach to prostate cancer treatment by preventing the development of drug resistance and prolonging patient survival.